Gretel Navigator Alternatives

Generates realistic tabular data from scratch, edits, and augments existing datasets, improving data quality and security for AI training and testing.
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Appen

If you're looking for a Gretel Navigator alternative, there are several other options worth a look. Appen has an end-to-end platform for sourcing, curating and refining data for AI use. It accepts a broad range of data types and offers integration with LLM APIs, annotation, collaboration and advanced analytics. The company's platform is used by major companies and is geared to improve the state of the art for AI data sourcing and curation.

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SuperAnnotate

Another contender is SuperAnnotate, an enterprise platform for training, testing and deploying LLM, CV and NLP models. It can draw data from local and cloud storage systems and has tools for advanced AI, QA and project management. With a global marketplace of 400+ vetted annotation teams and support for multiple data types, SuperAnnotate is designed to accelerate AI development while maintaining quality and accuracy.

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MOSTLY AI

For companies that want to create and explore synthetic data, MOSTLY AI offers a platform built on its GenAI technology. It's got a natural language interface for data exploration, fully anonymous synthetic data generation for privacy protection, and proprietary models for high-accuracy synthetic data. The platform is geared for enterprise customers and offers flexible pricing, so it's a good alternative for AI/ML development and data sharing.

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Dataloop

Last, Dataloop combines data curation, model management, pipeline orchestration and human feedback to speed up AI application development. It can handle a range of unstructured data types and offers features like automated preprocessing, model management and pipeline orchestration. With strong security controls and integration with common cloud computing platforms, Dataloop is designed to help teams collaborate and get work done faster.

More Alternatives to Gretel Navigator

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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Dataiku

Systemize data use for exceptional business results with a range of features supporting Generative AI, data preparation, machine learning, MLOps, collaboration, and governance.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Encord

Streamline computer vision development with automated labeling, data management, and model testing tools to build more accurate models faster.

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Credal

Build secure AI applications with point-and-click integrations, pre-built data connectors, and robust access controls, ensuring compliance and preventing data leakage.

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ClearGPT

Secure, customizable, and enterprise-grade AI platform for automating processes, boosting productivity, and enhancing products while protecting IP and data.

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Snaplet

Generates realistic, production-like seed data for relational databases, enabling faster and more accurate coding, testing, and debugging.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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Baseplate

Links and manages data for Large Language Model tasks, enabling efficient embedding, storage, and versioning for high-performance AI app development.

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Metatext

Build and manage custom NLP models fine-tuned for your specific use case, automating workflows through text classification, tagging, and generation.

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V7

Automates machine learning development tasks, including image and video labeling, to accelerate product delivery and reduce labeling costs by up to 80%.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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HoneyHive

Collaborative LLMOps environment for testing, evaluating, and deploying GenAI applications, with features for observability, dataset management, and prompt optimization.

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Scale

Provides high-quality, cost-effective training data for AI models, improving performance and reliability across various industries and applications.

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SQLAI.ai

Automate complex SQL and NoSQL query tasks, generate, optimize, fix, and explain queries with high accuracy, and gain data insights without writing code.